25 of 25 OpenAI Jobs in the City of London

deploying LLM-based applications in production environments Designing agentic workflows and multi-step AI systems Implementing RAG (Retrieval-Augmented Generation) pipelines Working with OpenAI or Anthropic APIs Using vector databases and embedding-based search systems Applying prompt engineering techniques effectively Building AI evaluation, monitoring, and observability frameworks Understanding ML fundamentals ...

Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with AWS or Azure Docker and containerisation experience, Kubernetes beneficial ...

Microsoft-aligned propositions for both corporates and financial institutions. Build service offerings that incorporate Microsoft’s AI and cloud technologies (Azure, Azure OpenAI, Databricks, Fabric, Dynamics 365, Microsoft 365 Copilot, etc.) in a way that addresses industry-specific challenges. Develop vertical propositions (e.g. AI-powered research platforms for banking, intelligent ...

Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying ...

Angular or React ASP.NET Core, Entity Framework, REST APIs, Swagger/OpenAPI SQL Server, PostgreSQL, NoSQL databases, vector databases FastAPI and AI service integrations (OpenAI, Claude, Gemini) Docker, Kubernetes (AKS), Azure App Services Azure DevOps, Azure Boards, CI/CD pipelines API Management, OAuth2, JWT, audit logging Unit testing across ...

operational decision-making Leveraging large language models (LLMs) to enhance data exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure ...

pipelines, infrastructure‐as‐code implementations, logging, monitoring, and fault‐tolerant deployments Collaboration Tools or Platforms Microsoft Office (Excel, Word, Outlook, Teams) AI Platforms & Models: OpenAI, Anthropic (Claude), Google Vertex AI, and select open‐source models Agent & Orchestration Frameworks: LangGraph, AutoGen, CrewAI (or similar) Cloud & DevOps Tooling: Docker, Kubernetes, Terraform, Helm ...

Salary: £90,000–£100,000 base • Bonus: 10% annual bonus • Working model: Hybrid (2 days per week in Soho, London) • Tech stack: Python, Azure, OpenAI APIs, CI/CD, Docker, observability • Visa sponsorship: Cannot currently sponsor Interested? Please apply below. ...

stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure ...

stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure … Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade ...

doing: Designing and building scalable backend systems using Python Developing and integrating LLM-powered features into core products Working with modern AI frameworks (e.g. OpenAI, LangChain, Hugging Face) Collaborating with data scientists to productionise models Improving system performance, reliability, and scalability Contributing to architectural decisions in a growing engineering team ...

integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data analytics solutions and enforcing architecture/documentation standards. The Person: Strong technical skills. Experience of delivering client ...

Infrastructure as Code managed through Terraform, including EKS, ECS, RDS, Karpenter, SSO integration, IRSA, Lambdas, CloudWatch, CloudTrail, GuardDuty and Landing Zone. AI tooling including OpenAI, Gemini, GitHub Copilot and Claude Code. Google Cloud experience is helpful, but not essential. What we’re looking for: We’re looking for someone with ...

platforms and identity solutions (Azure, Oracle, EntraID). Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens). Experience with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases. Strong knowledge of IAM, security patterns, governance, and compliance requireme nts. ...

stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure … Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade ...

influence stakeholders and deliver under pressure Comfortable juggling multiple projects and 'controlled chaos' at pace Nice to have Experience integrating Azure AI Services or OpenAI APIs Python exposure, particularly in AI or data-driven contexts Low-code/no-code tools (e.g. Webflow) for rapid prototyping Client-facing experience presenting ...

stacks: cloud (AWS/Azure/GCP), identity (Okta, Entra), security signal producers (Wiz, CrowdStrike, Noma), GRC (OneTrust, Vanta), and foundation model providers (Anthropic, OpenAI, Bedrock, Palantir). Translate regulatory frameworks (EU AI Act, FCA PS26/2, DORA, FINRA 25-07, SS1/23) into deployed controls inside ...

600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. The Opportunity We are seeking an experienced Client Director/Sales Director with a strong ...

transfer mechanisms (SCCs, IDTA, TRAs) Third-Party & Sub-Processor Risk Conducting and documenting sub-processor risk assessments (including AI/LLM vendors such as OpenAI), maintaining the sub-processor register, and supporting customer notification obligations under DPAs Running vendor risk assessments across data protection, information security and AI risk dimensions ...

deployment at scale. Build accelerators and reusable assets on the Foundry platform to reduce time-to-value. Stay current with Foundry's model catalogue (OpenAI, Meta, Mistral, Phi) and advise clients on model selection. 3. Required Skills & Experience 15+ years of experience in technology consulting or enterprise software, with … least 5 years in AI/ML leadership roles. Deep hands-on expertise across the Microsoft AI stack: Azure OpenAI Service, Azure AI Foundry, Semantic Kernel, Copilot Studio, Power Platform, and Microsoft 365. Strong understanding of LLM architectures, RAG patterns, agentic workflows, and prompt engineering. Experience delivering complex AI transformation ...

AI Architect Hybrid (London, Bristol, Leeds, Manchester) Initial 3 months with extensions Inside IR35 - Umbrella only Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team ...

Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability, and cost optimisation (FinOps) 🌍 Why This ...

/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI), and data pipelines Experience collaborating cross-functionally with Product and Engineering teams Ability to balance strategic vision with hands-on execution Preferred Experience ...

Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions. GenAI Leadership: Deploy and customize a variety of generative models, leveraging Azure OpenAI, Vector Databases, and RAG patterns. Technical Governance: Managed and governed technical teams to ensure best practices in AI data engineering. Stakeholder Management … years of hands-on Azure experience with a mandatory AZ-204 (Azure Developer Associate) certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps ...

ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Innovate with AI: Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform … OAuth2). Identity & Security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment. AI Integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls. Qualifications: You should hold an Azure certification (AZ-104 or higher ...